Human Behaviour and Traffic Networks (eBook, PDF)

Redaktion: Schreckenberg, Michael; Selten, Reinhard

• Format: PDF

Produktbeschreibung

How do people behave in different traffic situations? Are there general laws for mathematical modelling of decision dynamics? The answers, given at the first international workshop on "Human Behaviour in Traffic Networks", are presented in this volume. In 13 articles, well-known experts report about their current work on experiments and modelling in this area. The topics range from psychological behaviour in traffic situations, traffic simulations of various aspects and market analysis to experiments with human participants used in experimental economics. The articles filled with many illustrations are aimed at interested students as well as experts in this field.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 318
• Erscheinungstermin: 9. März 2013
• Englisch
• ISBN-13: 9783662078099
• Artikelnr.: 53289933

Autorenporträt

Michael Schreckenberg, University of Duisburg-Essen, Germany / Reinhard Selten, University of Bonn, Germany

Inhaltsangabe

Experimental Investigation of Day-to-Day Route-Choice Behaviour and Network Simulations of Autobahn Traffic in North Rhine-Westphalia.- Route Choice Models.- Dynamic Decision Behavior and Optimal Guidance Through Information Services: Models and Experiments.- Experiments with Route and Departure Time Choices of Commuters Under Real-Time Information: Heuristics and Adjustment Processes.- Against all Odds: Nash Equilibria in a Road Pricing Experiment.- Survey and Forecasts on Public Transportation in NRW & Stirring up Interfaces and Demarcations of Traffic Models.- Route Choice Simulators.- Aspects of Humans Aggressive Driving Behaviour as Indicators for the Irrationality of Thinking.- Locations, Commitments and Activity Spaces.- The Feasible Infeasibility of Activity Scheduling.- Methods for Automatic Tracing and Forecasting of Spatial-Temporal Congested Patterns: A Review.- Simulated Route Decision Behaviour: Simple Heuristics and Adaptation.- Route Learning in Iterated Transportation Simulations.